Description: Biologically Inspired Techniques in Many-Criteria Decision Making Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) Author(s): Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, Margarita N. Favorskaya Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030390358, 978-3030390358 Synopsis This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on [url] BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.
Price: 142.59 GBP
Location: Aldershot
End Time: 2025-01-07T13:48:44.000Z
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Book Title: Biologically Inspired Techniques in Many-Criteria Decision Making
Number of Pages: 258 Pages
Language: English
Publication Name: Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Computer Science
Item Height: 235 mm
Item Weight: 427 g
Type: Textbook
Author: Margarita N. Favorskaya, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Sung-Bae Cho, Pradeep Kumar Mallick
Series: Learning and Analytics in Intelligent Systems
Item Width: 155 mm
Format: Paperback
